Data Visualization Engineer

Role Overview: Data Visualization Engineer

We are seeking a Scientific Visualization Engineer with deep expertise in ParaView to support large-scale computational research initiatives for our client. This remote role focuses on transforming complex simulation datasets into high-quality, publication-ready visualizations that support scientific analysis, interpretation, and communication.

You will design and implement advanced visualization pipelines to process and interpret large-scale simulation data (CFD, FEM, and related domains). The position requires strong experience with ParaView scripting, parallel processing, and high-performance computing environments.

Key Responsibilities

• Develop advanced visualization workflows using ParaView.
• Process and visualize large-scale CFD and FEM datasets.
• Build custom filters and automation scripts using Python and ParaView macros.
• Apply parallel processing techniques for high-performance rendering.
• Collaborate with scientists and engineers to translate analytical requirements into visual outputs.
• Produce publication-quality scientific visualizations.
• Document workflows to ensure reproducibility and knowledge transfer.
• Stay current with developments in scientific visualization tools and techniques.

Required Qualifications

• Deep expertise in ParaView and scientific visualization pipelines.
• Strong Python scripting skills for automation and customization.
• Experience working with large-scale simulation data (CFD, FEM, multiphysics, or similar).
• Familiarity with HPC or distributed computing environments.
• Ability to generate clear, accurate, and technically rigorous visual outputs.
• Strong documentation and communication skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Applied Mathematics, or related field.

Preferred Qualifications

• Experience integrating ParaView with custom scientific software stacks.
• Background in scientific computing or numerical methods.
• Familiarity with open-source visualization ecosystems.
• Experience contributing to research publications or technical reports.

Ideal Candidate Profile

• Comfortable working with large, complex datasets.
• Detail-oriented with strong analytical thinking.
• Able to work independently in remote research environments.
• Experience supporting academic, national lab, or advanced industrial research teams.

Engagement Details

• Independent contractor engagement.
• Fully remote.
• Flexible scheduling.
• Compensation commensurate with experience and project complexity.
• Project duration may vary based on business needs.

Key skills/competency

• ParaView
• Scientific Visualization
• Python Scripting
• CFD Data
• FEM Data
• High-Performance Computing (HPC)
• Parallel Processing
• Data Processing
• Simulation Data
• Technical Documentation